Contributors | Affiliation | Role |
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Mortazavi, Behzad | National Science Foundation (NSF-DEB) | Principal Investigator, Contact |
Burnett, William C. | Florida State University (FSU - EOAS) | Co-Principal Investigator |
Ake, Hannah | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Potential denitrification and N2 fixation from slurry assays from Little Lagoon, Alabama.
Little Lagoon is a shallow coastal lagoon that is tidally connected to the Gulf of Mexico but has no riverine inputs. The water in the lagoon is replenished solely from precipitation and groundwater inputs primarily on the East end (Su et al. 2012). Because of the rapid development in Baldwin County, a large amount of NO3- enters the Little Lagoon system through SGD (Murgulet & Tick 2008). In this region, there can be rapid changes in the depth to groundwater (Fig. 4.1 inset) and episodic SGD inputs to the lagoon (Su et al.2013). Within the lagoon, three sites were selected (East, Mouth, and West) to represent the gradient that exists across the lagoon from the input of groundwater. Sites were sampled on a near-monthly basis from February 2012 to February 2013.
Potential denitrification and N2 fixation from slurry assays
The top 50 mm of sediment at each site were collected in duplicate with a large core (95 mm ID) and homogenized. Potential denitrification rates were measured following the acetylene inhibition technique (Sørensen 1978) but may underestimate denitrification supported by coupled nitrification-denitrification, as this method inhibits nitrification. To triplicate serum vials, approximately 20 g of sediments and filtered (0.7 micron) site water were added at various treatments (control and N addition (100 μM and 500 μM KNO3 -). Samples were sealed with a butyl rubber stopper, capped and flushed with N2 gas for 10 minutes. After the addition of C2H2 (10% v/v) and a 1-hour incubation, headspace gas samples were injected into evacuated 12 ml Exetainer vials and N2O production was quantified with a Shimadzu GC-2014 with an electron capture detector (GC-ECD) within 24 hours.
Potential N2 fixation rates were measured as ethylene (C2H4) production from acetylene (C2H2) reduction (Welsh et al. 1996) in triplicate from slurry assays containing 20 g of homogenized sediment and filtered (0.7 micron) site water. Rates of N2 fixation by sulfate reducing bacteria (SRB) were determined after the addition of sodium molybdate as a specific inhibitor of the sulfate reduction process (Hardy et al. 1973, Capone 1993). After C2H4 analysis on a Shimadzu gas chromatograph (GC-2014) with flame ionization detection (GC-FID), production rates of C2H4 were converted to potential N2 fixation rates using a C2H2:N2 reduction ratio of 3:1 (Capone 1993).
Additional methodology can be found in:
Bernard, Rebecca & Mortazavi, Behzad & A. Kleinhuizen, Alice. (2015). Dissimilatory nitrate reduction to ammonium (DNRA) seasonally dominates NO3− reduction pathways in an anthropogenically impacted sub-tropical coastal lagoon. Biogeochemistry. 125. 47-64. 10.1007/s10533-015-0111-6.
Data were flagged as below detection limits if no measurable rates were returned after calculations. See equations in methodology section of:
Bernard, Rebecca & Mortazavi, Behzad & A. Kleinhuizen, Alice. (2015). Dissimilatory nitrate reduction to ammonium (DNRA) seasonally dominates NO3− reduction pathways in an anthropogenically impacted sub-tropical coastal lagoon. Biogeochemistry. 125. 47-64. 10.1007/s10533-015-0111-6.
Statistical Analysis
To test the seasonal flux variability between sites in Little Lagoon, two-way ANOVAs with site and date as independent variables were performed. When data could not be transformed to meet ANOVA assumptions, Wilcoxon/Kruskal-Wallis nonparametric tests were used. When significant differences occurred, Tukey HSD or Steel-Dwass post hoc tests were used to determine significant interactions. A Principal component analysis (PCA) was conducted on all biogeochemical parameters to identify underlying multivariate components that may be influencing N fluxes. Spearman’s rho correlation analysis was used to examine the relationship between the principal components and fluxes. Statistical significance of the data set was determined at α=0.05 and error is reported as standard error. All statistical analyses were performed in SAS JMP 10 (SAS Institute Inc.).
BCO-DMO Data Processing Notes:
- Data reorganized into one table under one set of column names
- Units removed from column names
- Column names reformatted to meet BCO-DMO standards
- Information captured in original column names entered under column Value_Description
- Created column Year to describe to capture the metadata in the file name
File |
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DNF_N2.csv (Comma Separated Values (.csv), 580 bytes) MD5:b0f9f7cfb7a1317b1afe43ef3de6c700 Primary data file for dataset ID 723957 |
Parameter | Description | Units |
Year | Year ID that samples were taken | unitless |
Date | Month and day that samples were taken; MMM-DD | unitless |
Value_Description | Description of the measurment taken; description includes relevant units for each sample taken | unitless |
Mouth | Denitrification and Nitrogen fixation values collected at the site Mouth; location of site is 30.243683, -87.738407 | nanomol of nitrogen per gram per hour |
Mouth_SE | Standard error of the values collected at the site Mouth | nanomol of nitrogen per gram per hour |
West | Denitrification and Nitrogen fixation values collected at the site West; location of site is 30.247181, -87.767856 | nanomol of nitrogen per gram per hour |
West_SE | Standard error of the values collected at the site West | nanomol of nitrogen per gram per hour |
East | Denitrification and Nitrogen fixation values collected at the site East; location of site is 30.253347, -87.724729 | nanomol of nitrogen per gram per hour |
East_SE | Standard error of the values collected at the site East | nanomol of nitrogen per gram per hour |
Website | |
Platform | SmallBoat_FSU |
Start Date | 2010-04-05 |
End Date | 2013-08-17 |
Description | The sampling sites were all accessed from small boats, here amalgamated to one deployment called LittleLagoon. |
This project investigated the link between submarine groundwater discharge (SGD) and microalgal dynamics in Little Lagoon, Alabama. In contrast to most near-shore environments, it is fully accessible; has no riverine inputs; and is large enough to display ecological diversity (c. 14x 0.75 km) yet small enough to be comprehensively sampled on appropriate temporal and spatial scales. The PIs have previously demonstrated that the lagoon is a hot-spot for toxic blooms of the diatom Pseudo-nitzchia spp. that are correlated with discharge from the surficial aquifer. This project assessed variability in SGD, the dependence of benthic nutrient fluxes on microphytobenthos (MPB) abundance and productivity, and the response of the phytoplankton to nutrient enrichment and dilution. The work integrated multiple temporal and spatial scales and demonstrated both the relative importance of SGD vs. benthic recycling as a source of nutrients, and the role of SGD in structuring the microalgal community. (paraphrased from Award abstract)
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |